Which is the best Online tutorial of basics of r programming?

The best online tutorial for learning the basics of R programming can depend on your personal learning style and objectives. However, here are several highly recommended online resources and courses for beginners in R:

1. Coursera's "R Programming" by Johns Hopkins University

This is a widely acclaimed course that is part of the Data Science Specialization. It's perfect for beginners and covers the fundamentals of R programming. The instructors are experts in the field.

2. edX's "Introduction to R" by Microsoft

This course is designed for absolute beginners and is a part of the Data Science MicroMasters program. It's a great choice if you want to learn R in the context of data science.

3. DataCamp's "Introduction to R" Course

DataCamp offers interactive learning with coding challenges. Their "Introduction to R" course provides an excellent introduction to R for beginners.

4. R Programming on R-bloggers

This collection of articles and tutorials, curated by the R community, offers numerous beginner-friendly tutorials to get you started with R.

5. Swirl

Swirl is an interactive, in-console learning platform for R. You can learn R right from your R console, making it an ideal choice for hands-on learners.

6. LinkedIn Learning's "Learning R" Course

This is a beginner-friendly course that covers the basics of R programming. It's a great option if you prefer video-based learning.

7. R for Data Science by Hadley Wickham

This book is available for free online and is an excellent resource for learning R. It focuses on R as a tool for data analysis and visualisation.

5. Wiingy- online tutoring services

Wiingy provides 1-to-1 online tutoring, instructor-led online technology courses, and web tutorials to school students, university students, and working professionals across the globe.it also provides tutorials and courses on data science, R Programming

When selecting the best tutorial for you, consider factors such as your learning style, whether you prefer interactive coding challenges, video tutorials, or written resources, as well as your specific goals. If you're looking to enter the field of data science or data analysis, you might want to choose a resource that not only teaches you the basics of R but also provides context on how R is used in real-world data analysis projects. Regardless of your choice, practising what you learn by working on small coding projects is essential to solidify your R programming skills.